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Game Day Prediction & Fan Confidence Survey

Captures fans' pre-game predictions — winner, score, MVP, and the factors they think will decide the outcome — plus how confident and excited they are. Built for sports media brands, leagues, and fan engagement apps, with an AI follow-up that digs into the reasoning behind each fan's boldest or most contrarian pick.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

14 questions · ~7 min
Q01
Message

Ready for game day? We'd love your predictions before kickoff — winner, score, MVP, and more. Takes about 8 minutes, and there are no wrong answers, just your honest gut call.

Q02
Multiple ChoiceRequired

Which team do you think will win? (Replace with Team A vs. Team B — Template note: update with your actual matchup before launching.)

  • (Replace with Team A)
  • (Replace with Team B)
  • Too close to call
Q03
Short TextRequired

What's your predicted final score? (e.g., 24-17)

Q04
Opinion ScaleRequired

How confident are you in that score prediction?

Scale: 1 – 7
Min:Just guessingMax:Extremely confident
Q05
Multiple Choice

Who do you predict will be the standout performer (MVP) of the game? (Template note: replace with actual roster/player names before launching.)

  • (Replace with Player 1)
  • (Replace with Player 2)
  • (Replace with Player 3)
  • (Replace with Player 4)
  • Someone unexpected
Q06
RankingRequired

Rank the factors you think will matter most in deciding today's outcome, from most to least important.

  1. Offense
  2. Defense
  3. Coaching decisions
  4. Injuries/player availability
  5. Home field advantage
  6. In-game momentum/luck
Drag to rank
Q07
Point AllocationRequired

Split 100 points across these factors based on how much weight you'd give each one in predicting the winner.

  • Offense
  • Defense
  • Coaching
  • Injuries
  • Home field advantage
Allocate 100 points
Q08
Multiple Choice

Is there an upset or surprise result you think could happen today?

  • Yes, I have a specific upset in mind
  • Maybe, something feels off about the favorite
  • No, I expect a fairly predictable game
  • Not sure
Q09
AI Interview

Probe the reasoning behind the respondent's prediction, anchoring on their predicted score and any upset or surprise pick they flagged. Ask what specific evidence (recent performance, injuries, matchup history, gut feel) is driving that call, and if they hedged ('too close to call' or low confidence), push them to name what would tip it one way or the other. If they predicted an upset, get concrete details on what exactly would need to happen for it to occur.

Q10
Opinion ScaleRequired

How excited are you for today's game?

Scale: 0 – 10
Min:Not excited at allMax:Extremely excited
Q11
Multiple Choice

How are you planning to watch or follow the game?

  • Live at the venue
  • TV broadcast
  • Streaming app
  • Live text/score updates only
  • Highlights after the fact
  • Not planning to follow it
Q12
Multiple Choice

How closely would you say you follow this team or league overall?

  • Die-hard fan, follow constantly
  • Regular fan, watch most games
  • Casual fan, watch occasionally
  • Only for big games/events
  • Prefer not to say
Q13
Multiple Choice

What's your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q14
Message

Predictions locked in! Thanks for playing along — your picks feed into our game day predictions report and may be featured (anonymously) alongside how things actually turned out. Enjoy the game!

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Goes beyond a single winner/score pick with a ranking and a 100-point constant-sum split so fans weigh the actual factors they think will decide the game.
  • Includes an AI follow-up interview that adaptively probes the reasoning behind each fan's boldest or most contrarian prediction, rather than stopping at multiple-choice answers.
  • Captures both prediction confidence and pre-game excitement as separate opinion-scale measures, plus viewing habits and fandom depth for richer segmentation.
  • Automated per-response quality scoring and auto-generated reports mean the open-ended reasoning captured by the AI follow-up is still analyzable at scale, not just raw text to read manually.

SurveyMonkey

Big Game Prediction Survey

This is a ready-to-field template covering core game-day prediction questions like winner and score picks. It's built on SurveyMonkey's established survey infrastructure and benefits from their broad template library and distribution tools. However, it appears to be a static question set without any mechanism to explore the reasoning behind a fan's pick.

What it does well

  • Ready-to-deploy template requiring no build time
  • Backed by SurveyMonkey's mature survey distribution and analytics ecosystem
  • Likely simple and quick for respondents to complete

Where it falls short

  • No adaptive follow-up to probe why a fan made a particular prediction — static question flow only
  • No voice AI interview or guided task option for deeper engagement
  • No published methodology or prompt transparency since there's no AI layer to document

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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